diff options
Diffstat (limited to 'reference_model/src/tensor.cc')
| -rw-r--r-- | reference_model/src/tensor.cc | 203 |
1 files changed, 203 insertions, 0 deletions
diff --git a/reference_model/src/tensor.cc b/reference_model/src/tensor.cc index 90aee05..7cbeb13 100644 --- a/reference_model/src/tensor.cc +++ b/reference_model/src/tensor.cc @@ -382,6 +382,209 @@ DEF_CTENSOR_COPY_VALUE_FROM(6, bool) #undef DEF_CTENSOR_COPY_VALUE_FROM +int TosaReference::Tensor::readfromVector(const std::vector<float>& vals) +{ + uint32_t elements = getElementCount(); + switch (getDtype()) + { + case DType_FLOAT: + if (vals.size() != elements) + { + WARNING("The input size (%ld) doesn't match the number of elements (%d) assigned to the tensor.", + vals.size(), elements); + return -1; + } + + setTensorValueFloat(elements, vals.data()); + break; + default: + WARNING("The input type (float) doesn't match the data type assigned to the tensor (%s).", + EnumNameDType(getDtype())); + return -2; + } + setIsValid(); + return 0; +} + +int TosaReference::Tensor::readfromVector(const std::vector<int32_t>& vals) +{ + uint32_t elements = getElementCount(); + switch (getDtype()) + { + case DType_INT32: + case DType_UINT8: + case DType_INT4: + case DType_INT8: + case DType_INT16: + case DType_UINT16: + if (vals.size() != elements) + { + WARNING("The input size (%ld) doesn't match the number of elements (%d) assigned to the tensor.", + vals.size(), elements); + return -1; + } + + setTensorValueInt32(elements, vals.data()); + break; + default: + WARNING("The input type doesn't match the data type assigned to the tensor (%s).", + EnumNameDType(getDtype())); + return -2; + } + setIsValid(); + return 0; +} + +int TosaReference::Tensor::readfromVector(const std::vector<int64_t>& vals) +{ + uint32_t elements = getElementCount(); + switch (getDtype()) + { + case DType_INT48: + if (vals.size() != elements) + { + WARNING("The input size (%ld) doesn't match the number of elements (%d) assigned to the tensor.", + vals.size(), elements); + return -1; + } + + setTensorValueInt64(elements, vals.data()); + break; + default: + WARNING("The input type doesn't match the data type assigned to the tensor (%s).", + EnumNameDType(getDtype())); + return -2; + } + setIsValid(); + return 0; +} + +int TosaReference::Tensor::readfromVector(const std::vector<unsigned char>& vals) +{ + uint32_t elements = getElementCount(); + + switch (getDtype()) + { + case DType_BOOL: + if (vals.size() != elements) + { + WARNING("The input size (%ld) doesn't match the number of elements (%d) assigned to the tensor.", + vals.size(), elements); + return -1; + } + + setTensorValueBool(elements, reinterpret_cast<const bool*>(vals.data())); + break; + default: + WARNING("The input type (bool) doesn't match the data type assigned to the tensor (%s).", + EnumNameDType(getDtype())); + return -2; + } + setIsValid(); + return 0; +} + +int TosaReference::Tensor::writeToVector(std::vector<float>& vals) +{ + uint32_t elements = getElementCount(); + + switch (getDtype()) + { + case DType_FLOAT: + if (vals.size() != elements) + { + WARNING("The output size (%ld) doesn't match the number of elements (%d) assigned to the tensor.", + vals.size(), elements); + return -1; + } + + getTensorValueFloat(elements, vals.data()); + break; + default: + WARNING("The output type (float) doesn't match the data type assigned to the tensor (%s).", + EnumNameDType(getDtype())); + return -2; + } + return 0; +} + +int TosaReference::Tensor::writeToVector(std::vector<int32_t>& vals) +{ + uint32_t elements = getElementCount(); + + switch (getDtype()) + { + case DType_INT32: + case DType_UINT8: + case DType_INT4: + case DType_INT8: + case DType_INT16: + case DType_UINT16: + if (vals.size() != elements) + { + WARNING("The output size (%ld) doesn't match the number of elements (%d) assigned to the tensor.", + vals.size(), elements); + return -1; + } + + getTensorValueInt32(elements, vals.data()); + break; + default: + WARNING("The output type doesn't match the data type assigned to the tensor (%s).", + EnumNameDType(getDtype())); + return -2; + } + return 0; +} + +int TosaReference::Tensor::writeToVector(std::vector<int64_t>& vals) +{ + uint32_t elements = getElementCount(); + + switch (getDtype()) + { + case tosa::DType_INT48: + if (vals.size() != elements) + { + WARNING("The output size (%ld) doesn't match the number of elements (%d) assigned to the tensor.", + vals.size(), elements); + return -1; + } + + getTensorValueInt64(elements, vals.data()); + break; + default: + WARNING("The output type doesn't match the data type assigned to the tensor (%s).", + EnumNameDType(getDtype())); + return -2; + } + return 0; +} + +int TosaReference::Tensor::writeToVector(std::vector<unsigned char>& vals) +{ + uint32_t elements = getElementCount(); + + switch (getDtype()) + { + case tosa::DType_BOOL: + if (vals.size() != elements) + { + WARNING("The output size (%ld) doesn't match the number of elements (%d) assigned to the tensor.", + vals.size(), elements); + return -1; + } + + getTensorValueBool(elements, reinterpret_cast<bool*>(vals.data())); + break; + default: + WARNING("The output type (bool) doesn't match the data type assigned to the tensor (%s).", + EnumNameDType(getDtype())); + return -2; + } + return 0; +} + template <class T> int TosaReference::TensorTemplate<T>::setTensorValueFloat(const size_t buflen, const float* vals) { |